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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Modeling25%- Normalization and denormalization strategies
- Skinny tables for performance optimization
- Big Objects and external objects
- Large Data Volumes (LDV) design considerations
- Indexing strategies
Topic 2: Master Data Management20%- Data cleansing techniques
- Identity resolution
- Data duplication and matching rules
Topic 3: Data Integration15%- Real-time vs batch integration patterns
- ETL tools and data migration strategies
- Handling locks and parallelism during migration
- Sharing rules impact on data integration
- API-based integration (REST, SOAP, Bulk API)
Topic 4: Data Architecture20%- Archiving and data lifecycle management
- Architecture patterns and design principles
- Performance tuning and optimization
- Governor limits and bulk processing
Topic 5: Data Governance20%- Compliance and regulatory considerations
- Data stewardship roles and responsibilities
- Data retention and archiving policies
- Data quality standards and metrics

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Salesforce Certified Data Architect Sample Questions (Q138-Q143):

NEW QUESTION # 138
Northern Trail Outfitters would like to report on the type of customers. A custom field for customer type was created in Account object. Users need to be limited to the following defined choices when entering information in this field:
1. High Value
2. Medium Value
3. Low Value
Which strategy should a data architect recommend to configure customer type?

Answer: A

Explanation:
single-select restricted picklist with defined choices can be a way to configure customer type. The article states that picklists are fields that allow users to select one or more predefined values from a list, and restricted picklists ensure that users can only select from the defined values. This can help to limit the choices for customer type and ensure data quality.


NEW QUESTION # 139
A company has 12 million records, and a nightly integration queries these records.
Which two areas should a Data Architect investigate during troubleshooting if queries are timing out? (Choose two.)

Answer: A,D

Explanation:
Making sure the query does not contain NULL in any filter criteria can avoid full table scans and leverage indexes more efficiently. Queries with NULL filters are not selective and can cause performance issues. Creating custom indexes on the fields used in the filter criteria can also enhance the query performance by reducing the number of records to scan.


NEW QUESTION # 140
Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items. The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

Answer: B


NEW QUESTION # 141
Universal Containers (UC) has a requirement to create an Account plan object that is related to the Account object. Each Account plan needs to have an Account object, but the accessibility requirement of the Account plan is different from the Account object. What should an Architect recommend?

Answer: C

Explanation:
Creating an account plan object with a lookup relationship to Account with validation rules to enforce the Account association can help UC meet their requirement. A lookup relationship allows different accessibility requirements for the account plan object and the account object, as well as different ownership and sharing settings. A validation rule can ensure that each account plan has an account associated with it.


NEW QUESTION # 142
Universal Containers (UC) is building a Service Cloud call center application and has a multisystem support solution. UC would like or ensure that all systems have access to the same customer information.
What solution should a data architect recommend?

Answer: D

Explanation:
A master data management (MDM) strategy for customer data can help UC ensure that all systems have access to the same customer information, without loading or duplicating data in all systems. An MDM strategy can also help UC avoid data conflicts and inconsistencies that may arise from having multiple systems as owners of data.


NEW QUESTION # 143
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